implementing kpis for energy performance assessment in brownfield districts
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FP7/2007-2013 GA n° 600058
Implementing KPIs for energy performance assessment in brownfield districts
Sustainable Places 2014, Nice, France
Anna Florea
October 1, 2014
FP7/2007-2013 GA n° 600058
Introduction
DistrictsBrownfield vs. greenfield
• Need for change• Feasibility study• Citizen in the loop
KPIRecommendation
Constraints
Target
Data
Infrastructure
FP7/2007-2013 GA n° 600058
Value-chain
Site and End User Selection
Data Sources
Selection / Creation
Site Gateway Deploy
Profiling Data Capture Analysis
Retro-fitting
Decisions / Actions
Hardware and Software DaaS Cloud Platform
Deployment Framework
Profiling Methodology (Ontology)
Analysis Methodology (Use-Cases)
Kalundborg, Denmark
Eibar, Spain
Barcelona, Spain
Services: street lighting, district heating, electric power
supply Actors:
municipality, utilities, consultants, citizens
District profile Daas Cloud Platform
FP7/2007-2013 GA n° 600058
Study of data sources
Data categories Description
Geographical Topography of the site, climate, etc.
Intensity level Demographic data (i.e. population density).
Wealth level Household disposable income, surveys on comfort.
Activity level It is a coding system of land-use planning used by local governments.
Energy studies Technical data of buildings, street light systems, etc.
Energy Energy consumption, CO2 emissions, etc.
Energy cost Investment cost, energy consumption costs, etc.
How secure and reliable should be the connection from the pilot site to
the platform?
How intensive is the communication between the pilot site and the
platform (Data rate and message rate)?
Which are the data sources visible for the platform and vice versa?
Considerations for third party data sources, if any.
Protocols supported by the data sources?
Availability of the data source in terms of legal access to it?
Source of the data (a specific web-site, institution etc.)?
What kind of information can be captured?
What are the data sources?
What are the communication patterns?
FP7/2007-2013 GA n° 600058
KPI definition
Energy performance
Relationship between energy consumption and the needs covered.
Feasibility of energy savings
Relationship between the cost of the change in a current energy scenario and the profit obtained with this change
Formula Data Sources Computation Rule
FP7/2007-2013 GA n° 600058
Data Acquisition
• Scope of every data source.
• Pilot site
• Cloud
• Entry point to the platform
• Aggregation interface
• Profiling Module
• Horizontal Services
• gateways are hubs of pilot sites data sources.
• Pilot sites always start the communication to the
DCP.
Formula Data Sources Computation Rule
FP7/2007-2013 GA n° 600058
KPI Computation
Formula Data Sources Computation Rule
• Rules and calculations
• EPL syntax
• Computation triggered by incoming messages
• Engages profile data
• Data storage
• Instantiation Data
• Energy Profiles
• Sensed Data
• Key Performance Indicators
FP7/2007-2013 GA n° 600058
Example: Eibar Pilot site
FP7/2007-2013 GA n° 600058
Conclusions
• The solution focuses on the brownfield districts and is driven by requirements consolidated from use-cases of different type and scale and having different retrofitting targets.
• Multi-tenancy is an important feature of the solution allowing managing multiple locations within one instance of the platform.
• District performance, retrofitting campaign feasibility and citizen’s comfort considered as main drivers for KPI selection.
• A common KPI computation approach is defined, fitting different kinds of indicators, found throughout the requirements analysis.
Thank you!
Questions?
anna.florea@tut.fi
http://urb-grade.eu
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